Position ID: | Georgia Tech Shenzhen Institute-MSA [#24163] |
Position Title: | Statistics and Operations Research Tenure-track Faculty at Georgia Tech Shenzhen Institute |
Position Type: | Tenured/Tenure-track faculty |
Position Location: | Shenzhen, Shenzhen, China [map] ![]() |
Subject Areas: | Analytics Statistics Operations Research |
Appl Deadline: | none (posted 2023/01/13) |
Position Description: |
The Master of Science
in Analytics (MSA) program (www.analytics.gatech.edu) at the Georgia
Institute of Technology (Georgia Tech) invites applications for tenure track
faculty positions at the Assistant Professor or Associate Professor level in
Statistics, Operations Research (OR), or related areas. These are full-time
positions with the Georgia Tech Shenzhen Institute (GTSI) in
Shenzhen, China. These positions will reside in China. GTSI is a Joint Institute between Georgia Tech and Tianjin University (TJU) and is located in Shenzhen, the so-called "Silicon Valley of China". GTSI has received approval from the Board of Regents of the University System of Georgia and the Chinese Ministry of Education to offer Georgia Tech's existing Master's degree programs in Electrical and Computer Engineering (ECE), Analytics, Computer Science, Environmental Engineering, and Industrial Design, as well as the PhD degree in ECE. Georgia Tech is fully responsible for Georgia Tech academic programming at GTSI.
Georgia Tech is one of only six institutions in the United States that is
ranked in the top-10 in all three of the constituent areas of analytics
(computing, statistics/OR, and business analytics). Over the past several
years, Georgia Tech has consistently been ranked between #4 and #8 in
Statistics and Operational Research by the QS World University Rankings and
by U.S. News and World Report as #8 or #9 in Computer Science
#7 in the subfield of Artificial Intelligence, #4 in Business-Quantitative
Analysis, and #3 in Business Analytics. Successful GTSI faculty candidates will be expected to teach courses from Georgia Tech's curriculum in MSA, mentor students, engage in field-related professional achievement and activity, and perform service to GTSI and the analytics profession. Candidates can apply
to either of the following two tracks which differ in teaching load and research
expectations.
Employment,
compensation and benefits of these faculty members will be through GTSI. They
will be interviewed by the relevant faculty body at Georgia Tech. Successful
candidates will be granted Georgia Tech adjunct faculty status and are expected
to teach the Georgia Tech curriculum in English at GTSI. Both the faculty and
the student bodies at GTSI are expected to be diverse and international.
Chinese language skills are not a requirement for employment with GTSI. Georgia Tech and GTSI are committed to diversity, equity, and inclusion in the faculty and student bodies. We strongly encourage applications from women, underrepresented minorities, and individuals with disabilities. Georgia Tech and GTSI are committed to promoting work-life balance and supporting dual-career employee families. SALARY: Commensurate with qualifications and experience, academic year (9-month) basis. Summer teaching opportunities may be available with additional summer salary of up to 1/3 of academic year salary. BASIC QUALIFICATIONS: Ph.D. degree in statistics, operations research, or a closely related field, from a top graduate program taught in the English language, to be conferred no later than June 30, 2023. POSITION AVAILABLE: August 1, 2023, with academic year beginning in August 2023. TO APPLY: Please submit by email to gtshenzhen-msa@isye.gatech.edu, and include "GTSI MSA faculty application from YOUR NAME" in the Subject line. Please indicate whether you are applying for the teaching track or the teaching & research track. The application package should be submitted as PDF files and include: a letter of application, curriculum vitae, a statement of professional interests and plans, a statement of teaching interests, and contact information for at least 3 professional references. In addition, up to ten sets of instructor teaching evaluations may be submitted.
CLOSING DATE: Applications will be
reviewed on a rolling basis. The positions will remain open until filled and
will close no later than November 30, 2023. |